# config_FINN_W2_A2_28.examplar_size = 130
# config_FINN_W2_A2_28.instance_size = 256
# config_FINN_W2_A2_28.score_size = 30
# save_config(config_FINN_W2_A2_28, f"./models_{exp_nbr}/")
# # training SiamFC network, using GPU by default
# train(data_dir, train_imdb, val_imdb, model_save_path=f"./models_{exp_nbr}/",
# type=NetType.FINN_W2_A2_X28,
# config=config_FINN_W2_A2_28)
# writer.close()
exp_nbr = "FINN_W2_A2_29" + "_" + str(dt.now())
writer = SummaryWriter(f"runs/{exp_nbr}")
config_FINN_W2_A2_29 = Config()
config_FINN_W2_A2_29.val_videos = 400
config_FINN_W2_A2_29.examplar_size = 130
config_FINN_W2_A2_29.instance_size = 256
config_FINN_W2_A2_29.score_size = 30
save_config(config_FINN_W2_A2_29, f"./models_{exp_nbr}/")
# training SiamFC network, using GPU by default
train(data_dir,
train_imdb,
val_imdb,
model_save_path=f"./models_{exp_nbr}/",
type=NetType.FINN_W2_A2_X29,
config=config_FINN_W2_A2_29)
writer.close()
exp_nbr = "FINN_W2_A2_30" + "_" + str(dt.now())
writer = SummaryWriter(f"runs/{exp_nbr}")
config_FINN_W2_A2_30 = Config()
config_FINN_W2_A2_30.val_videos = 400
# exp_nbr = "FINN_W2_A8_X27_z256_x130" + "_" + str(dt.now())
# writer = SummaryWriter(f"runs/{exp_nbr}")
# config_FINN_W2_A8_X27_z256_x130 = Config()
# config_FINN_W2_A8_X27_z256_x130.val_videos = 400
# config_FINN_W2_A8_X27_z256_x130.examplar_size = 130
# config_FINN_W2_A8_X27_z256_x130.instance_size = 256
# config_FINN_W2_A8_X27_z256_x130.score_size = 30
# save_config(config_FINN_W2_A8_X27_z256_x130, f"./models_{exp_nbr}/")
# # training SiamFC network, using GPU by default
# train(data_dir, train_imdb, val_imdb, model_save_path=f"./models_{exp_nbr}/",
# type=NetType.FINN_W2_A8_X27_z256_x130,
# config=config_FINN_W2_A8_X27_z256_x130)
# writer.close()
exp_nbr = "FINN_W2_A2_X26_z256_x130" + "_" + str(dt.now())
writer = SummaryWriter(f"runs/{exp_nbr}")
config_FINN_W2_A2_X26_z256_x130 = Config()
config_FINN_W2_A2_X26_z256_x130.val_videos = 400
config_FINN_W2_A2_X26_z256_x130.examplar_size = 130
config_FINN_W2_A2_X26_z256_x130.instance_size = 256
config_FINN_W2_A2_X26_z256_x130.score_size = 30
save_config(config_FINN_W2_A2_X26_z256_x130, f"./models_{exp_nbr}/")
# training SiamFC network, using GPU by default
train(data_dir,
train_imdb,
val_imdb,
model_save_path=f"./models_{exp_nbr}/",
type=NetType.FINN_W2_A2_X26_z256_x130,
config=config_FINN_W2_A2_X26_z256_x130)
writer.close()